DL-ANN
Authored by PRABANAND S C
Engineering
University
Used 2+ times
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20 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The basic unit of an Artificial Neural Network is called:
Kernel
Perceptron
Decision Tree
Support Vector
2.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The activation function in ANN is used to:
Scale the input
Normalize data
Introduce non-linearity
Measure accuracy
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The purpose of using multiple hidden layers in deep learning is to:
Increase model simplicity
Reduce computation
Eliminate overfitting
Learn complex hierarchical patterns
4.
FILL IN THE BLANKS QUESTION
30 sec • 1 pt
The process of adjusting weights in ANN during training is called (a)
(answer in small case letters)
5.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Which loss function is commonly used in binary classification with ANN?
Cross-Entropy Loss
Hinge Loss
Gini Index
Mean Squared Error
6.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The number of neurons in the input layer of an ANN corresponds to:
Number of classes
Number of features
Number of hidden layers
Number of epochs
7.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
The main advantage of deep learning over traditional machine learning is:
Does not require GPUs
Always faster to train
Automatically learns features
Requires less data
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